About AffinityX
As a global leader in providing white-labeled digital marketing services, Affinity X is deeply committed to helping leading brands and local businesses grow through tech-enabled, data-driven solutions. We are seeking a highly motivated and skilled Data Scientist to join our team and contribute to our mission of providing cutting-edge solutions to our clients.
As a Data Scientist, you will be responsible for collecting, analyzing and interpreting large and complex data sets, developing models, and communicating insights to our stakeholders. You will play a critical role in contributing to the company’s goals by providing data-driven insights and recommendations.
About our team
At AffinityX, there is both an “art” and a “science” that come together to power our ability to solve complex marketing challenges.
To build lasting growth, we seek those who think differently and investigate all potential solutions before arriving at a recommendation. Those who are not afraid of change and are deeply connected with a desire to provide stability and solve problems. Those who know that a successful campaign is just as important as staying up to date on the latest industry trends, and thrive on supporting our clients’ success in everything they do.
People who can combine industry knowledge with a passion to serve and care for the enablement of others. We’ll provide a framework for success through training, technology, and processes. We put our know-how to the test for our clients, supporting their needs and providing a truly exceptional customer experience.
Position responsibilities and essential duties
(Others may be assigned)
- Collect, clean, and preprocess data from various sources.
- Develop, test, and deploy predictive or classification models using machine learning algorithms.
- Analyze and interpret large and complex data sets to identify trends, patterns, and insights.
- Communicate insights and recommendations to stakeholders through visualizations, reports, and presentations.
- Understand the business opportunities and proactively recommend machine learning solutions and strategies to positively impact them.
- Collaborate with cross-functional teams to develop and implement data-driven solutions.
- Stay up-to-date with the latest trends and technologies in data science and analytics.
Qualifications
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- At least 5 years of experience in a data science or machine learning role.
- Strong technical skills in data science or machine learning libraries in Python/R, deep learning frameworks like PyTorch or Tensorflow, and experience with data visualization tools or libraries for exploratory analysis purposes.
- Experience managing and leading related projects across multiple areas of the company.
- Excellent problem-solving, critical thinking, and communication skills.
- Ability to work independently and as part of a team.
- Experience with SQL and NoSQL database technologies.
- Experience with cloud computing platforms such as AWS, Azure, or GCP.
- General understanding of LLMs and how they work.
- Knowledge of machine learning deployment and monitoring methodologies in cloud environments.
- Comfortable working in US shift or any other shifts as per business requirements.
Team structure and growth opportunities
You will be part of a dynamic and collaborative team of data scientists, engineers, and analysts. You will have the opportunity to work on challenging projects and develop your skills in data science and analytics. We encourage our employees to take ownership of their work and provide opportunities for career growth and development.
We are a company that values innovation, collaboration, and diversity. We offer a competitive salary, flexible work arrangements, and a comprehensive benefits package. We are committed to providing our employees with a supportive and inclusive work environment that fosters creativity, learning, and growth.
If you are a passionate and driven data scientist who is looking for a challenging and rewarding opportunity, we encourage you to apply for this position.
